DRIB Index 2020: Validating and enhancing disaster risk indicators in Brazil

Almeida, Lutiane Queiroz de; Araújo, Ana Maria Souza de; Welle, Torsten; Birkmann, Joern

doi:10.1016/j.ijdrr.2019.101346

Cited by 9 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In total, two summarizing and two weighting methods were applied to assess the vulnerability index (FVI); one weighting measure considered the general Equation (1) used in a previous study implemented for the Latin America and Caribe region developed by Corporación Andina de Fomento (CAF) in 2014 [25,31,34], in which the definition of vulnerability is a representation of the balance between a potential threat and a system's ability to mitigate that risk. As such, equal weights are distributed in the FVI between the Exposure Index (50%) and together, the Sensitivity Index (25%) and the Adaptive Capacity Index (25%), these three indexes are calculated by giving the same ponderation to each indicator (Table 1) [35][36][37][38] Combining these three components into a spatial framework allows for a detailed study of the underlying causes of flood vulnerability, and later exploring adaptation or response measures of the various urban actors.…”

Section: Flood Vulnerability Index Methodologies For Weighting Indicmentioning

confidence: 99%

An Operational Framework for Urban Vulnerability to Floods in the Guayas Estuary Region: The Duran Case Study

et al. 2020

View full text Add to dashboard Cite

Duran is a coastal city located in the Guayas Estuary region in which 24% of urban sectors suffers from the effects of chronic flooding. This study seeks to assess the causes of Duran’s vulnerability by considering exposure, population sensitivity and adaptive capacity to establish alternatives to reduce its vulnerability to flooding. An operational framework is proposed based on the vulnerability definition of the Intergovernmental Panel on Climate Change (IPCC) and applying a census-based Index of Vulnerability, a geographic information system and local knowledge of urban development. A Principal Component and equal weighting analysis were applied as well as a spatial clustering to explore the spatial vulnerability across the city. A total of 34% of the city area is mapped as having high and very high vulnerability, mostly occupied by informal settlements (e.g., 288 hectares). Underlying factors were poor quality housing, lack of city services and low adaptive capacity of the community. However, some government housing programs (e.g., El Recreo), with better housing and adaptive capacity were also highly vulnerable. Limited urban planning governance has led to the overloading of storm water and drainage infrastructure which cause chronic flooding. Understanding the underlying causes of vulnerability is critical in order develop integrated strategies that increase city resilience to climate change.

show abstract

Section: Flood Vulnerability Index Methodologies For Weighting Indicmentioning

confidence: 99%

An Operational Framework for Urban Vulnerability to Floods in the Guayas Estuary Region: The Duran Case Study

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The specific locations within the two cities were based on suggestions provided by experts from CPRM; the cities and locations were known to have a frequency of flooding of at least two or three events in the last ten years. The Brazilian Disaster Risk Indicators (DRIB-Index) proposal by Almeida et al [28] was also consulted to select the best locations in the Amazon region. The DRIB-Index served as a tool to help assess 32 indicators that include different levels of exposure, vulnerability, and risks in Brazil [28].…”

Section: Study Background-rio Branco (Acre State) and Belem (Para Sta...mentioning

confidence: 99%

“…The Brazilian Disaster Risk Indicators (DRIB-Index) proposal by Almeida et al [28] was also consulted to select the best locations in the Amazon region. The DRIB-Index served as a tool to help assess 32 indicators that include different levels of exposure, vulnerability, and risks in Brazil [28]. DRIB aims to capture and measure four major components: exposure to natural disasters, susceptibility of the exposed communities, coping capacities, and adaptive capacities [28].…”

Section: Study Background-rio Branco (Acre State) and Belem (Para Sta...mentioning

confidence: 99%

“…The DRIB-Index served as a tool to help assess 32 indicators that include different levels of exposure, vulnerability, and risks in Brazil [28]. DRIB aims to capture and measure four major components: exposure to natural disasters, susceptibility of the exposed communities, coping capacities, and adaptive capacities [28]. The DRIB-Index showed a high level of vulnerability and low capacity to cope and adapt to socioenvironmental changes imposed by disasters and climate changes for several cities in the North (Amazon) and Northeast regions [2] of Brazil.…”

Section: Study Background-rio Branco (Acre State) and Belem (Para Sta...mentioning

confidence: 99%

See 1 more Smart Citation

Assessing Urban Vulnerability to Flooding: A Framework to Measure Resilience Using Remote Sensing Approaches

et al. 2022

View full text Add to dashboard Cite

Assessing and measuring urban vulnerability resilience is a challenging task if the right type of information is not readily available. In this context, remote sensing and Earth Observation (EO) approaches can help to monitor damages and local conditions before and after extreme weather events, such as flooding. Recently, the increasing availability of Google Street View (GSV) coverage offers additional potential ways to assess the vulnerability and resilience to such events. GSV is available at no cost, is easy to use, and is available for an increasing number of locations. This exploratory research focuses on the use of GSV and EO data to assess exposure, sensitivity, and adaptation to flooding in urban areas in the cities of Belem and Rio Branco in the Amazon region of Brazil. We present a Visual Indicator Framework for Resilience (VIFOR) to measure 45 indicators for these characteristics in 1 km2 sample areas in poor and richer districts in the two cities. The aim was to assess critically the extent to which GSV-derived information could be reliable in measuring the proposed indicators and how this new methodology could be used to measure vulnerability and resilience where official census data and statistics are not readily available. Our results show that variation in vulnerability and resilience between the rich and poor areas in both cities could be demonstrated through calibration of the chosen indicators using GSV-derived data, suggesting that this is a useful, complementary and cost-effective addition to census data and/or recent high resolution EO data. Furthermore, the GSV-linked approach used here may assist users who lack the technical skills to process raw EO data into usable information. The ready availability of insights on the vulnerability and resilience of diverse urban areas by straightforward remote sensing methods such as those developed here with GSV can provide valuable evidence for decisions on critical infrastructure investments in areas with low capacity to cope with flooding.

show abstract

“…the susceptibility, coping, and adaptive capacity components are practical, robust, and reliable for use in vulnerability assessment. However, Almeida et al [17] reported several limitations due to data availability. The indicator used does not represent the complex reality of risk and limitation on local or micro-scales.…”

Section: Introductionmentioning

confidence: 99%

Development of a Local, Integrated Disaster Risk Assessment Framework for Malaysia

et al. 2021

View full text Add to dashboard Cite

This study developed an integrated disaster risk assessment framework (IDRAF) to measure disaster risk at the local administrative boundaries in Malaysia. The proposed framework can enhance government effort for disaster risk reduction by implementing an integrated disaster risk framework and guiding decision makers to properly evaluate and analyze risk for mitigation, preparedness, and planning. The framework was developed, expanding from the multi-hazard spatial overlapping and Methods for the Improvement of Vulnerability Assessment in Europe (MOVE) theoretical framework. There are five significant phases to develop this framework: problem formulation, data collection, multi-hazard characterization, multi-dimensional vulnerability characterization, and weightage determination. The IDRAF proposed for Malaysia consists of eight hazards and six vulnerability dimensions, which consist of 16 factors (or vulnerability group) and 54 indicators. The multi-hazard characterization has two components: frequency of occurrence and spatial interaction. The multidimensional vulnerability characterization reduces vulnerability indicators using principal component analysis (PCA). Measuring integrated risk is an effective strategy at the local level or national level to assess the potential disaster impacts in detail and accurately. This study will offer explicit knowledge and boost community competency, creating techniques and tools to analyze various risk factors and vulnerability indicators for decision makers and practitioners.

show abstract

DRIB Index 2020: Validating and enhancing disaster risk indicators in Brazil

Cited by 9 publications

References 6 publications

An Operational Framework for Urban Vulnerability to Floods in the Guayas Estuary Region: The Duran Case Study

An Operational Framework for Urban Vulnerability to Floods in the Guayas Estuary Region: The Duran Case Study

Assessing Urban Vulnerability to Flooding: A Framework to Measure Resilience Using Remote Sensing Approaches

Development of a Local, Integrated Disaster Risk Assessment Framework for Malaysia

Contact Info

Product

Resources

About